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Justin Kalski
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SUBJECT.ID // CSUN.CS.2026

JUSTIN KALSKI

SOFTWARE ENGINEER // BACKEND SYSTEMS

CS student at CSUN graduating May 2026. Building APIs and backend systems at LADWP and Lynkme Cards. Focused on backend development, systems integration, and data engineering.

RESUME.PDF
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EDUCATION

B.S. COMPUTER SCIENCE

California State University Northridge

EXP. MAY 2026GPA 3.4

RELEVANT COURSEWORK

Data StructuresAlgorithmsOperating SystemsDatabase SystemsComputer NetworksSoftware Engineering
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EXPERIENCE

Software & Integration Engineer

LOS ANGELES DEPT. OF WATER AND POWER

JUL.2025 – NOW
  • ▸Developed MuleSoft APIs (RAML, DataWeave) enabling secure cross-system integration.
  • ▸Built and maintained C# / ASP.NET Core backend services supporting business workflows.
  • ▸Designed REST APIs and implemented data transformation between legacy and modern systems.
  • ▸Integrated SQL Server data sources for transactional processing.
  • ▸Supported CI/CD deployments and resolved production performance issues.

Back-End Developer Intern

LYNKME CARDS

FEB.2025 – NOW
  • ▸Architected backend services to process OCR-extracted business card data into normalized relational schemas.
  • ▸Designed secure RESTful APIs with server-side validation, authentication controls, and strict input sanitization.
  • ▸Built SQL-backed ingestion pipelines supporting real-time data capture and webhook-triggered workflows.
  • ▸Refactored API request handling to reduce client-side exposure of sensitive logic.
  • ▸Conducted internal production review identifying frontend security flaws and proposed backend-driven remediation.
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PROJECTS

PROJ.ID
ACTIVE
OL

OptiMind Labs

RL energy optimization system modeling HVAC dynamics. Implemented policy gradient and value-based agents to minimize energy usage while maintaining performance constraints.

PythonRLlibStable-Baselines3NumPy
SOURCE
PROJ.ID
ACTIVE
E

EqualCare

Healthcare data fairness platform. RESTful APIs for dataset ingestion and statistical bias analysis with a normalized PostgreSQL schema and layered backend architecture.

FastAPIReactPostgreSQLChromaDBDocker
DEMOSOURCE
PROJ.ID
ACTIVE
PD

Phishing Detector

Real-time phishing email detection using ML models trained on 80,000+ emails. Multi-classifier prediction pipeline with a Streamlit interface.

PythonStreamlitScikit-learnTensorFlow
DEMOSOURCE
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TECHNICAL SKILLS

LANGUAGES

C#C++PythonJavaJavaScriptSQL

FRAMEWORKS & DATABASES

.NETASP.NET CorePostgreSQLFastAPIReact

ENGINEERING

OOPREST API DesignData Structures & AlgorithmsRelational Schema DesignSQL OptimizationCI/CD